Blackrock

• Salary: Not disclosed
• Location: Bengaluru
• Key Skills: Accounting

Job Description:

Job description About This Role At BlackRock, technology has always been at the core of what we do and today, our technologists continue to shape the future of the industry with their innovative work We are not only curious but also collaborative and eager to embrace experimentation as a means to solve complex challenges Here youll find an environment that promotes working across teams, businesses, regions and specialties and a firm committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders around the world, We are seeking a highly skilled and motivated Senior level Data Engineer to join the Private Market Data Engineering team within Aladdin Data at BlackRock for driving our Private Market Data Engineering vision of making private markets more accessible and transparent for clients In this role, you will work multi-functionally with Product, Data Research, Engineering, and Program management, Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates The candidate will have extensive experience in developing data pipelines using Python, Apache Airflow orchestration platform, DBT (Data Build Tool), Great Expectations for data validation, Apache Spark, MongoDB, Elasticsearch, Snowflake and PostgreSQL In this role, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines You will collaborate with various stakeholders to ensure the data pipelines are efficient, reliable, and meet the needs of the business, Key Responsibilities Design, develop, and maintain data pipelines using Aladdin Data Enterprise Data Platform framework, Develop data transformation using DBT (Data Build Tool) with SQL or Python, Develop ETL/ELT data pipelines using Python, SQL and deploy them as containerized apps on a Kubernetes cluster, Ensure data quality and integrity through automated testing and validation using tools like Great Expectations, Implement all observability requirements in the data pipeline, Optimize data workflows for performance and scalability, Monitor and troubleshoot data pipeline issues, ensuring timely resolution, Document data engineering processes and best practices whenever required, Develop APIs for data distribution on top of the standard data model of the Enterprise Data Platform, Required Skills And Qualifications Must have 5 to 8 years of experience in data engineering, with a focus on building data pipelines, Strong programming skills in Python, Experience with Apache Airflow or any other orchestration framework for data orchestration, Proficiency in DBT for data transformation and modeling, Experience with data quality validation tools like Great Expectations or any other similar tools, Strong at writing SQL and experience with relational databases like SQL Server, PostgreSQL, Experience with cloud-based data warehouse platform like Snowflake, Experience working on NoSQL databases like Elasticsearch and MongoDB, Experience working with container orchestration platform like Kubernetes on AWS and/or Azure cloud environments, Experience on Cloud platforms like AWS and/or Azure, Experience working with backend microservices and APIs using Java or C#, Ability to work collaboratively in a team environment, Need to possess critical skills of being detail oriented, passion to learn new technologies and good analytical and problem-solving skills, Experience with Financial Services application is a plus, Effective communication skills, both written and verbal, Bachelors or masters degree in computer science, Engineering, or a related field, Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about, Our hybrid w